iPad16,2
Geekbench AI Score
4052
Single Precision Score
7021
Half Precision Score
5650
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 06:51 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad16,2 |
| Model ID | iPad16,2 |
| Motherboard | J411AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1751
325.5 IPS |
|
|
Image Classification (HP)
|
100% |
2940
546.7 IPS |
|
|
Image Classification (Q)
|
96% |
2022
377.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1732
28.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2488
40.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3113
50.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8048
9.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
16271
19.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14113
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
1817
144.1 IPS |
|
|
Object Detection (HP)
|
97% |
3391
270.0 IPS |
|
|
Object Detection (Q)
|
94% |
2362
188.3 IPS |
|
|
Face Detection (SP)
|
100% |
3405
40.5 IPS |
|
|
Face Detection (HP)
|
100% |
7053
83.8 IPS |
|
|
Face Detection (Q)
|
100% |
3963
47.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7096
54.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
13712
106.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
9320
72.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21116
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
33652
43.3 IPS |
|
|
Style Transfer (Q)
|
96% |
27417
35.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4882
180.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6254
230.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4471
165.1 IPS |
|
|
Text Classification (SP)
|
100% |
3260
4.35 KIPS |
|
|
Text Classification (HP)
|
100% |
5685
7.59 KIPS |
|
|
Text Classification (Q)
|
93% |
5635
7.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
3318
57.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6238
107.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6201
107.2 IPS |
